24 results about "Electricity infrastructure" patented technology

The invention discloses a cement-based telegraph pole defect detection method based on big data analysis, and the method comprises the steps: arranging a distributed optical fiber sensing network to collect the stress data of a target telegraph pole, and obtaining a stress feature set through denoising and feature extraction; constructing a structure damage feature library based on the attributes of the telegraph pole and the material characteristics, and screening key damage features through a self-adaptive matching threshold value; and in combination with concrete carbonization characteristics and steel bar corrosion characteristics, carrying out weighted analysis by adopting a multi-modal fusion model and an attention mechanism, and outputting an optimally matched defect detection result. According to the method, through multi-source data fusion and dynamic threshold optimization, the recognition precision of typical damages such as cracks and spalling is remarkably improved, a graded early warning and maintenance scheme can be automatically generated according to a detection result, and intelligent monitoring and operation and maintenance of the health state of the telegraph pole are achieved; the method has the characteristics of high detection accuracy and strong environmental adaptability, and is suitable for long-term safety monitoring of the electric power infrastructure.

Operators typically utilize techno-economic means to set peak power demand in power infrastructure sites, such as power depots and microgrids. However, conventional means tend to either produce sub-optimal values of peak power demand or be too computationally expensive to be performed in a real-time or scalable manner. Accordingly, disclosed embodiments utilize a sliding time window to continuously or periodically determine peak power demand in past, current, and future portions of a current time period. These embodiments are able to determine an optimal peak power demand for the current time period, while remaining computationally feasible for real-time performance and being scalable with the complexity of optimization.

Variants of the system includes an industrial facility, job scheduling services, and a set of control agents configured to manage power and cooling resources. The method includes determining a current system state, optionally predicting a future system state, determining control setpoints, and controlling the facility based on the setpoints. In a data center implementation, the control agents receive physical state information from infrastructure components and job data from the job scheduling services. Using this information, the control agents predict future power and heat loads associated with scheduled compute jobs. The predictions are generated by a state approximator. Based on the predicted resource demands, the control agents determine control setpoints for cooling and power infrastructure components. The job scheduling services can allocate, delay, or reschedule jobs based on predicted thermal and power constraints.

The application discloses a kind of urban water and electricity infrastructure protection resource configuration method, equipment and storage medium, it is related to urban water and electricity failure analysis and resource configuration field, comprising: determining the failure ratio of upstream node, whether it is failure state based on failure ratio determination;In the case of being not failure state, the water depth of node to be analyzed is determined according to water depth variation model;When water depth is greater than water depth threshold, the target failure probability of node is determined based on water depth and target failure probability model;The random value of node is generated by Monte Carlo simulation method, whether node is failure state is determined again based on target failure probability and random value;If still not failure state, whether it is failure state is further determined based on random failure probability;System reliability result is determined based on the state of node, and node is protected by resource configuration based on protection resource configuration strategy, water and electricity infrastructure failure analysis and protection resource configuration are realized.

The invention, which belongs to the technical field of carbon emission data processing, relates to a logistics carbon footprint tracking method for an electric power infrastructure fabricated component, comprising a global positioning terminal, an RFID read-write device, an RFID tag and a logistics carbon footprint accounting and display platform. The global positioning terminal is used for monitoring transportation carbon emission tracking data, and the RFID tag and the RFID read-write device are used for storing, writing or reading data such as component production carbon emission tracking data of a component; the logistics carbon footprint accounting and display platform is internally provided with a transportation accounting formula and an abnormity alarm algorithm. The system has dual functions of carbon footprint tracking and logistics asset tracking. Through real-time display and alarm functions, logistics assets and carbon footprints of the fabricated components are tracked, and when abnormity in the transportation process is found, an alarm is given, so that assets and carbon emission management of the fabricated components is facilitated.

This invention discloses a method and system for energy consumption analysis of highway power equipment based on smart gateways. The method includes: acquiring power equipment operation data collected by smart gateways deployed at multiple nodes along the highway; identifying operational energy consumption correlation characteristics corresponding to each smart gateway based on a preset correlation model; predicting the gateway area risk corresponding to each smart gateway based on the operational energy consumption correlation characteristics using a prediction model; and performing energy consumption structure analysis on the highway and identifying abnormal energy consumption data based on the gateway area risk, thereby outputting operational management suggestions for the power equipment. Therefore, this invention can achieve digital monitoring and risk warning of the operational status of highway power infrastructure, thus providing scientific decision-making suggestions and data support for the precise operation and management of power equipment.

The invention provides a method and a system for optimizing electric power infrastructure based on low-altitude economic electricity consumption, which are characterized in that multi-source electricity consumption data (low-altitude manufacturing industry electricity consumption, low-altitude flight electricity consumption and low-altitude guarantee electricity consumption) are fused, so that scientific parameter support is provided for planning and operation of the electric power infrastructure; and meanwhile, by virtue of the specific time sequence dependence of the long-short-term memory network, the forward movement of the predicted weight in the time dimension is realized, so that the weight prediction accuracy is improved. Besides, the low-altitude economic electricity consumption is combined with the power grid safe and stable operation constraint condition of the to-be-measured area, so that the cooperative management of the low-altitude economy and the power grid output quality of the power foundation arrangement in the to-be-measured area is realized, and the optimization accuracy of the power infrastructure in the next time period can be further improved. Therefore, the planning and operation cost of the power infrastructure can be accurately adjusted and optimized.

Variants of the system includes an industrial facility, job scheduling services, and a set of control agents configured to manage power and cooling resources. The method includes determining a current system state, optionally predicting a future system state, determining control setpoints, and controlling the facility based on the setpoints. In a data center implementation, the control agents receive physical state information from infrastructure components and job data from the job scheduling services. Using this information, the control agents predict future power and heat loads associated with scheduled compute jobs. The predictions are generated by a state approximator. Based on the predicted resource demands, the control agents determine control setpoints for cooling and power infrastructure components. The job scheduling services can allocate, delay, or reschedule jobs based on predicted thermal and power constraints.

A method and system for matching a power infrastructure model to measured data is disclosed. The method comprises receiving a power infrastructure model comprising a plurality of model points indicating estimated positions of entities of the power infrastructure. The method further comprises receiving measured data comprising a plurality of measured points indicating actual positions of entities of the power infrastructure. The method further comprises determining at least one matching pair of points between the plurality of model points and the plurality of measured points. The method further comprises generating a revised model by deforming the power infrastructure model based on the at least one matching pair of points. The system includes one or more processors and a computer readable medium for performing the method. Unlocking insights from Geo-Data, the present invention further relates to improvements in sustainability and environmental developments: together we create a safe and liveable world.

A system for detecting an event in an electrical infrastructure is disclosed. The system includes a plurality of monitoring stations configured to monitor signals from electrical equipment to detect one or more events associated with the electrical equipment. The monitoring stations are spaced at intervals along the electrical infrastructure. The system further includes a processor configured to analyze the detected events to obtain information regarding at least one of location, character and severity of each event associated with the electrical equipment, and output the obtained information.

The invention discloses a power system network security check automatic identification method, which comprises the following steps: S1, sensing the dynamic change of a power system network topology in real time through a self-adaptive dynamic topology sensing module, accurately identifying boundary equipment, and laying a foundation for subsequent security check; s2, dynamically associating a multi-dimensional risk assessment module; s3, optimizing an intelligent decision engine module through multiple targets; and S4, a visual interaction and emergency linkage module is adopted. According to the method, the automation and intelligence level of network security check of the power system is remarkably improved, breakthrough innovation is particularly achieved in the aspects of dynamic topological response, multi-type attack collaborative evaluation and multi-target decision optimization in a complex power grid environment, and the method has wide market application prospects and is worthy of popularization and application. The method can be widely applied to network security protection of key power infrastructures such as 500kV and above hub substations, regional power dispatching centers, new energy power stations and the like.

The invention discloses a full-process digital water and electricity intelligent infrastructure management system, relates to the technical field of water and electricity infrastructure management, and provides the following scheme that the system comprises a data acquisition layer which serves as a data acquisition and operation entrance of the system and provides basic hardware support for full-process management; and the data storage layer is used for carrying out unified storage, cleaning and sharing functions of whole-process data. According to the invention, the problem of traditional hydroelectric infrastructure management pain points is solved, a five-layer architecture and an intelligent algorithm are used, the data layer realizes full-scene acquisition and mixed storage, and data accuracy, completeness and safety are guaranteed; the processing layer fuses BIM and data, visually presents and improves information acquisition efficiency, covers the whole life cycle in business, manages and controls progress, quality, safety and resources in real time in the construction stage, realizes equipment predictive maintenance, energy consumption optimization and emergency response acceleration in the operation stage, adapts to multi-role interaction, obviously reduces cost and efficiency, reduces labor and resource waste, shortens the construction period, and improves the efficiency of construction. And digital transformation of hydroelectric capital construction is promoted.

The invention discloses an anti-corrosion method and an anti-corrosion system for a transmission tower. The method comprises the following steps: acquiring a potential signal and anode information of an auxiliary anode; constructing model input data at least based on the potential signal and the anode information; according to the model input data, calling a pre-trained neural network to determine optimal anti-corrosion potential information; according to the optimal anti-corrosion potential information, the potential output module is controlled to adjust the current output by the positive electrode of the potential output module, so that the adjusted current is the optimal protection current matched with the optimal anti-corrosion potential information, and efficient anti-corrosion of the tower can be achieved; therefore, the service life of the transmission tower can be prolonged, and safe operation of electric power infrastructure is guaranteed.

A protective device for reducing the possibility of accidental electrical discharges to a fish tape during use may include a coupler portion configured to be releasably coupled to a connector of an electrical enclosure of electrical infrastructure, and a shield portion configured to receive a free end and end portion of the fish tape from conductive contact with elements in the electrical enclosure, with the shield portion being releasably attached to the coupler portion. A system including various elements of the electrical infrastructure, and a method of utilizing the protective device in the infrastructure, are also disclosed.

The application discloses a kind of urban water and electricity infrastructure failure analysis method, device, equipment and storage medium, it is related to urban water and electricity failure analysis field, comprising: the failure proportion of upstream node is determined, whether it is failure state based on failure proportion, wherein, to be analyzed node is corresponding with urban water and electricity infrastructure;In the case of being not failure state, the water depth of to-be-analyzed node is determined according to water depth variation model;When water depth is greater than water depth threshold value, the target failure probability of to-be-analyzed node is determined based on water depth and target failure probability model;The random value of to-be-analyzed node is generated by Monte Carlo simulation method, and whether to-be-analyzed node is failure state is determined again based on target failure probability and random value;If still not failure state, whether it is failure state is further determined based on random failure probability;Failure analysis result is generated based on the state of to-be-analyzed node, and the scientific analysis of water and electricity infrastructure failure is realized.

The invention provides a full-life-cycle carbon emission metering and carbon reduction method and system suitable for a main power house of a transformer substation, and belongs to the field of low-carbon construction of electric power infrastructures. The method aims to solve the problems that carbon emission of building material production, transportation, construction and decommissioning links is neglected in an existing method, carbon footprint data of the whole life cycle is lost, and data support cannot be provided for comprehensive low-carbon transformation. According to the method, a material and equipment acquisition stage, a transportation stage, a construction stage, an operation stage and a decommissioning stage are covered, in the construction stage, a mechanical attitude sensor and a fuel sensor are installed, and the operation state of equipment is recognized through signals, so that dynamic metering of carbon emission is achieved; in the operation stage, a CEEMDAN-LSTM hybrid algorithm is adopted to predict the carbon emission per unit time, and support is provided for long-term carbon management; and finally, measuring and predicting a result according to the carbon emission of each stage. Quantitative, real-time and intelligent control over the whole process of carbon emission of the main plant of the transformer substation is achieved, and high precision, expandability and engineering application value are achieved.

The invention relates to the technical field of power transmission tower damage assessment, and discloses a power transmission tower damage assessment method and device, electronic equipment and a storage medium, and the method comprises the steps: employing a reverse finite element method to construct a global inversion model of tower damage, and employing discrete strain data collected by a small number of sensors through a discrete variation thought to obtain a power transmission tower damage assessment result; external load and material attribute information are not needed in the inversion stage, but damage judgment needs to be conducted in combination with material performance data in the evaluation stage, and efficient solving of structural displacement and a stress field is successfully achieved. The method has the beneficial technical effects that the limitation of traditional strain monitoring is broken through, the stress, displacement and inclination angle parameters at the position where a sensor is not deployed can be inverted, the monitoring capability of the stress distribution of the whole tower is improved, the comprehensive evaluation effect on the safety of the tower is remarkably improved, and important support is provided for safety management of electric power infrastructures.

The invention relates to the technical field of large excavating equipment, and discloses a motor-driven crawler excavator and a working method thereof.The motor-driven crawler excavator comprises a supporting plate, the bottom of the supporting plate is rotationally connected with a rotating disc, the bottom of the rotating disc is fixedly connected with a crawler belt, and the middle of the top of the supporting plate is fixedly connected with a console; a grabbing mechanism is arranged at the top of the supporting plate, an air supply mechanism is arranged at the top of the supporting plate, and a range extender is fixedly connected to the top of the supporting plate. According to the motor-driven crawler excavator and the working method thereof, the range extender combines an engine power generation mode and a battery power supply mode. In some construction sites with imperfect electric power infrastructures, a traditional electric excavator may face the difficult problem of charging, and even under the condition that no external power source exists, the extended-range excavator can maintain work through power generation of an engine, and dependence on single electric power supply is avoided.

The invention relates to an electric charging network system (1) for charging electric energy storage devices of electric vehicles, wherein the electric charging network system (1) comprises at least one first distribution unit (5), at least one second distribution unit (7), and at least one charging-point unit (9), wherein each first distribution unit (5) comprises a first data-processing unit, and each charging-point unit (9) comprises a charging data-processing unit. The invention also relates to an electric infrastructure system (3), to a method for operating an electric charging network system (1), to a computer program, and to a computer-readable medium.

To reduce the risk of electricity or water depletion in off-grid environments. [Solution] A program that operates a computer equipped with a processor and memory causes the processor to acquire current state information, including the remaining charge of a battery in an off-grid environment independent of the power infrastructure, and uses a machine learning model to predict the balance of power supply and demand. The predicted balance of supply and demand is applied to the current battery charge as a starting point to calculate the future charge trend. The calculated charge trend is evaluated to determine the risk of power depletion by checking whether it falls below a threshold, and if there is a risk, predetermined processing is executed to reduce the risk.

The invention discloses a novel electric pole and a production method thereof, and relates to the technical field of electric power infrastructure, the electric pole comprises a steel reinforcement framework and a concrete layer wrapping the steel reinforcement framework; the steel reinforcement framework comprises longitudinal load-bearing steel bars, spiral bars and erecting rings. The concrete layer is made of C80 grade concrete, and the C80 grade concrete comprises the following components in parts by weight: 410-430 parts of 42.5 R cement; 610 to 630 parts of medium sand; 950-980 parts of stones with the particle size of 6-20 mm; 40 to 45 parts of silicon powder; 3-4 parts of a naphthalene water reducer; the high-strength steel bars and the densified spiral bars are cooperatively arranged to form a steel bar framework, a three-dimensional stress system is formed, and the bending resistance, shearing resistance and fatigue resistance of the rod body are effectively enhanced; the compactness and the impermeability of the concrete layer are improved by optimizing grading design and doping high-performance active admixtures, meanwhile, the gradient thickness design is adopted, the bearing capacity gradient from the top end to the bottom end of the rod body is enhanced, and early damage caused by stress concentration is avoided.

The invention discloses an unsaturated soil foundation strength deterioration evaluation method and system considering a water immersion effect, and relates to the technical field of geotechnical engineering and electric power infrastructure safety, and the method comprises the following steps: obtaining water content state monitoring data of a foundation under a water immersion condition, determining a wetting front position based on the monitoring data, and extracting a propagation characteristic quantity of the wetting front position; based on the propagation characteristic quantity and the change rate of the water-containing state, matrix suction is corrected, and evolution suction is obtained; comparing the water content state with a preset structure starting criterion, determining an over-threshold water content increment, and accumulating to obtain a structure damage state quantity; based on the structural damage state quantity, an attenuation function is constructed to carry out attenuation modulation on the evolution suction, and equivalent shear strength is obtained; and outputting a foundation strength deterioration evaluation result based on the equivalent shear strength. According to the invention, a closed loop from data monitoring to safety early warning is realized, and a dynamic and accurate evaluation means is provided for foundation safety in an operation period.

The invention relates to the technical field of electric power infrastructure safety monitoring, and discloses an early warning threshold value dynamic setting method and system for differential settlement of a tower footing, and the method comprises the steps: collecting settlement monitoring data of a tower and corresponding surrounding environment parameters; performing data processing on the settlement monitoring data to obtain standardized settlement of the tower; performing data analysis on the tower based on the standardized settlement to obtain a static early warning threshold value of the tower; performing corrosion potential analysis on the static early warning threshold value based on the soil sulfide concentration in the corresponding surrounding environment parameters to obtain a foundation corrosion factor of the tower; and dynamically correcting the static early warning threshold value based on the foundation corrosion factor to obtain a dynamic early warning threshold value of the tower. According to the method, the problem of insufficient early warning accuracy caused by dependence on a static threshold and no consideration of environmental factors such as soil corrosion can be effectively solved.